Deep learning models for bridge deck evaluation using impact echo

Vibration‐based structural state identification by a 1‐dimensional convolutional neural network

(2019) Youqi Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures

(2019) Rih‐Teng Wu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A fast adaptive crack detection algorithm based on a double-edge extraction operator of FSM

(2019) Qijun Luo et al.   CONSTRUCTION AND BUILDING MATERIALS

A generalizable deep learning framework for localizing and characterizing acoustic emission sources in riveted metallic panels

(2019) Arvin Ebrahimkhanlou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Nondestructive evaluation sensor fusion with autonomous robotic system for civil infrastructure inspection

(2018) Spencer Gibb et al.   Journal of Field Robotics

Frequency Wave Number–Domain Analysis of Air-Coupled Impact-Echo Tests in Concrete Slab

(2018) Hajin Choi et al.   Journal of Infrastructure Systems

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

(2018) Osama Abdeljaber et al.   NEUROCOMPUTING

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Laboratory assessment of nine methods for nondestructive evaluation of concrete bridge decks with overlays

(2018) Shibin Lin et al.   CONSTRUCTION AND BUILDING MATERIALS

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Evaluation of Bridge Abutments and Bounded Wall Type Structures with Ultraseismic Waveform Tomography

(2017) Farrokh (Frank) Jalinoos et al.   Journal of Bridge Engineering

Review of Robotic Infrastructure Inspection Systems

(2017) David Lattanzi et al.   Journal of Infrastructure Systems

Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines

(2016) Jing-Kui Zhang et al.   SENSORS

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

(2015) Christian Koch et al.   ADVANCED ENGINEERING INFORMATICS

Method for Analyzing Time-Series GPR Data of Concrete Bridge Decks

(2015) Kien Dinh et al.   Journal of Bridge Engineering

Semi-Supervised Bayesian Classification of Materials with Impact-Echo Signals

(2015) Jorge Igual et al.   SENSORS

Assessing sensitivity of impact echo and ultrasonic surface waves methods for nondestructive evaluation of concrete structures

(2014) Hoda Azari et al.   CONSTRUCTION AND BUILDING MATERIALS

Sonic Methods to Detect Delamination in Concrete Bridge Decks

(2012) Hoda Azari et al.   TRANSPORTATION RESEARCH RECORD

Multiple Complementary Nondestructive Evaluation Technologies for Condition Assessment of Concrete Bridge Decks

(2010) Nenad Gucunski et al.   TRANSPORTATION RESEARCH RECORD

Feature extraction and selection for defect classification of pulsed eddy current NDT

(2008) Tianlu Chen et al.   NDT & E INTERNATIONAL